Triple
T15500231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Dogg Pound Gangsta LP |
E378931
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | One By One |
E463946
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: One By One | Statement: [Tha Dogg Pound Gangsta LP, hasPart, One By One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One By One Context triple: [Tha Dogg Pound Gangsta LP, hasPart, One By One]
-
A.
One by One
"One by One" is a song recorded by the American R&B/rock and roll vocal group The Coasters.
-
B.
One by One
chosen
One by One is a 2002 rock album by Foo Fighters known for its heavier sound and hit singles like "All My Life" and "Times Like These."
-
C.
Down to One
"Down to One" is a country song by Luke Bryan featured on his album "Born Here Live Here Die Here."
-
D.
One Alone
"One Alone" is a romantic ballad from the 1926 operetta *The Desert Song* by Sigmund Romberg, known for its lush melody and classic musical theatre style.
-
E.
Only One
"Only One" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotional vocal style and confessional lyricism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3667a53c81908be789f99e580265 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:54 a.m.